Sheikh Rabiul Islam

Orcid: 0000-0001-9610-0230

According to our database1, Sheikh Rabiul Islam authored at least 37 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Explainable Machine Learning Model to Accurately Predict Protein-Binding Peptides.
Algorithms, September, 2024

Preface.
Int. J. Artif. Intell. Tools, May, 2024

Advances in Explainable, Fair, and Trustworthy AI.
Int. J. Artif. Intell. Tools, May, 2024

Predictive Policing: A Fairness-aware Approach.
Int. J. Artif. Intell. Tools, May, 2024

Multi-modal Machine Learning Model for Interpretable Malware Classification.
Proceedings of the Explainable Artificial Intelligence, 2024

Explainable Deep Learning Models for Dynamic and Online Malware Classification.
Proceedings of the IEEE International Conference on Smart Computing, 2024

Knowledge-infused and Explainable Malware Forensics.
Proceedings of the Thirty-Seventh International Florida Artificial Intelligence Research Society Conference, 2024

Severe Weather Forecasting via the Sole Use of Satellite Data.
Proceedings of the Thirty-Seventh International Florida Artificial Intelligence Research Society Conference, 2024

Multimodal and Explainable Android Adware Classification Techniques.
Proceedings of the Thirty-Seventh International Florida Artificial Intelligence Research Society Conference, 2024

2023
Ad-Hoc Monitoring of COVID-19 Global Research Trends for Well-Informed Policy Making.
ACM Trans. Intell. Syst. Technol., April, 2023

Brain Tumor Detection from Brain MRI Using Soft IP Core on FPGA.
Circuits Syst. Signal Process., February, 2023

Incorporating the Concept of Bias and Fairness in Cybersecurity Curricular Module.
Proceedings of the 54th ACM Technical Symposium on Computer Science Education, Volume 2, 2023

Evaluating Fairness in Predictive Policing Using Domain Knowledge.
Proceedings of the Thirty-Sixth International Florida Artificial Intelligence Research Society Conference, 2023

Vision Transformers for Galaxy Morphology Classification: Fine-Tuning Pre-trained Networks vs. Training from Scratch.
Proceedings of the Deep Learning Theory and Applications - 4th International Conference, 2023

Aiming to Minimize Alcohol-Impaired Road Fatalities: Utilizing Fairness-Aware and Domain Knowledge-Infused Artificial Intelligence.
Proceedings of the IEEE International Conference on Big Data, 2023

Predicting Potential School Shooters from Social Media Posts.
Proceedings of the IEEE International Conference on Big Data, 2023

2022
Learning Condition-Invariant Scene Representations for Place Recognition across the Seasons Using Auto-Encoder and ICA.
J. Electr. Comput. Eng., 2022

Incorporating the Concepts of Fairness and Bias into an Undergraduate Computer Science Course to Promote Fair Automated Decision Systems.
Proceedings of the SIGCSE 2022: The 53rd ACM Technical Symposium on Computer Science Education, 2022

Data-Driven Estimation of Effectiveness of COVID-19 Non-pharmaceutical Intervention Policies.
Proceedings of the IEEE International Conference on Big Data, 2022

Advancing Fairness in Public Funding Using Domain Knowledge.
Proceedings of the Symposium How Fair is Fair? Achieving Wellbeing AI co-located with Association for the Advancement of Artificial Intelligence 2022 Spring Symposium (AAAI-Spring Symposium 2022), 2022

2021
FAIXID: A Framework for Enhancing AI Explainability of Intrusion Detection Results Using Data Cleaning Techniques.
J. Netw. Syst. Manag., 2021

Exploring the Scope and Potential of Local Newspaper-based Dengue Surveillance in Bangladesh.
CoRR, 2021

Explainable Artificial Intelligence Approaches: A Survey.
CoRR, 2021

A Supervised Rare Anomaly Detection Technique via Cooperative Co-evolution-Based Feature Selection Using Benchmark UNSW_NB15 Dataset.
Proceedings of the Ubiquitous Security - First International Conference, 2021

COVID19α: Interactive Spatio-Temporal Visualization of COVID-19 Symptoms through Tweet Analysis.
Proceedings of the IUI '21: 26th International Conference on Intelligent User Interfaces, 2021

Observing the Unobserved: A Newspaper Based Dengue Surveillance System for the Low-Income Regions of Bangladesh.
Proceedings of the Thirty-Fourth International Florida Artificial Intelligence Research Society Conference, 2021

Implications of Combining Domain Knowledge in Explainable Artificial Intelligence.
Proceedings of the AAAI 2021 Spring Symposium on Combining Machine Learning and Knowledge Engineering (AAAI-MAKE 2021), 2021

2020
Towards Quantification of Explainability in Explainable Artificial Intelligence Methods.
Proceedings of the Thirty-Third International Florida Artificial Intelligence Research Society Conference, 2020

Domain Knowledge Aided Explainable Artificial Intelligence for Intrusion Detection and Response.
Proceedings of the AAAI 2020 Spring Symposium on Combining Machine Learning and Knowledge Engineering in Practice, 2020

2019
Investigating bankruptcy prediction models in the presence of extreme class imbalance and multiple stages of economy.
CoRR, 2019

Infusing domain knowledge in AI-based "black box" models for better explainability with application in bankruptcy prediction.
CoRR, 2019

Automated Ransomware Behavior Analysis: Pattern Extraction and Early Detection.
Proceedings of the Science of Cyber Security - Second International Conference, 2019

2018
Credit Default Mining Using Combined Machine Learning and Heuristic Approach.
CoRR, 2018

A Deep Learning Based Illegal Insider-Trading Detection and Prediction Technique in Stock Market.
CoRR, 2018

Mining Illegal Insider Trading of Stocks: A Proactive Approach.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

A Flexible-blocking Based Approach for Performance Tuning of Matrix Multiplication Routines for Large Matrices with Edge Cases.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017
Mining Bad Credit Card Accounts from OLAP and OLTP.
Proceedings of the International Conference on Compute and Data Analysis, 2017


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